Idiopathic retinal arterial occlusive vasculitis in the setting of multiple arterial occlusions
Bibliographic record
Abstract
PURPOSE: We present a patient with vaso-occlusive retinal vasculitis to summarize this uncommon entity and review the clinical features and management challenges applicable to patients with retinal vasculitis. OBSERVATIONS: A 76-year-old male presented with sudden-onset severe central vision loss. On examination, vitreous hemorrhage, neovascularization of the optic nerve, peripheral segmental periphlebitis, vessel sclerosis, vascular sheathing, and retinal hemorrhages were observed, and a diagnosis of active vaso-occlusive retinal vasculitis was made. The patient then underwent a complete infectious, inflammatory, and neoplastic workup which returned negative. The patient was treated with locally with a sub-Tenon's injection of 40 mg triamcinolone on presentation and later with oral prednisone. At three-month follow-up, vision improved to 20/300 with regressing neovascularization and clearing of vitreous hemorrhage in the right eye (OD). CONCLUSIONS: Considering novel associations of occlusive retinal vasculitis, it is important to recognize that idiopathic occlusive retinal vasculitis, although uncommon, can occur and represents a prototypical disease form. It is imperative that these patients have a complete infectious, inflammatory, and neoplastic workup owing to the possible overlap of masquerade clinical signs and symptoms.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".